Machine Learning Engineer (AIX)

Job Description

Role OVO-View

Team: AIX Pod

Salary banding: £50,000 - £70,000

Experience: Mid-level

Working pattern: Full-Time

Reporting to: Delivery & Growth Lead

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Impactful, Ownership, Collaborative

Top 3 qualities for this role: Communication, Solution-orientated, Driven

Where you’ll work:

Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person.

You’ll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life.

Everyone belongs at OVO:

At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That's why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Teamworking for the planet:

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

We’re the team turning AI ambition into real-world impact - building intelligent systems that help customers, cut carbon, and scale smarter operations. Our mission is to put machine learning at the heart of Plan Zero.

This role in a nutshell:

This role will involve working with multidisciplinary teams involved in the creation of AI-driven products, so an understanding of the concepts involved in bringing AI-based solutions to market would be useful.

As a Machine Learning Engineer at OVO, you’ll play a key role in developing and deploying machine learning models that power real-world applications. You’ll design and build production-ready ML pipelines, collaborate across teams to ensure systems are reliable and scalable, and continuously improve data preprocessing and feature engineering to boost model performance and efficiency.

Your key outcomes will be:

• Model Development and Deployment: Design, develop, and deploy machine learning models into production, ensuring seamless integration and efficient training and evaluation processes.
• Model Performance Tuning: Continuously monitor and refine model performance through hyperparameter optimization and analysis, applying techniques that enhance accuracy and efficiency.
• ML Pipeline Development: Work collaboratively with data and software engineers to build scalable, reproducible ML pipelines, implementing CI/CD workflows for streamlined deployment.
• Model Monitoring and Maintenance: Establish monitoring systems to track model performance in production, proactively addressing reliability and stability issues.
• Data Preprocessing and Feature Engineering: Enhance data quality and consistency through effective preprocessing and feature engineering, applying robust transformation and selection strategies.
• Community of Practice: Contribute to OVO’s Machine Learning Community of Practice by engaging in collaborative discussions and supporting the growth of shared knowledge and practices.

You’ll be successful here at OVO if you…

• Experience developing and deploying machine learning models in real-world environments
• Proficient in training and deploying models using frameworks like TensorFlow or PyTorch
• Skilled in building and maintaining scalable ML pipelines
• Strong capabilities in hyperparameter tuning and model performance optimisation
• Familiarity with CI/CD practices for machine learning workflows
• Able to monitor, troubleshoot, and improve models in production
• Solid skills in data preprocessing, transformation, and feature engineering
• Strong programming ability in Python and SQL
• Comfortable documenting workflows and sharing knowledge clearly
• Collaborative mindset with the ability to work effectively across teams
• Excellent analytical thinking and problem-solving skills
• Committed to best practices in reproducibility, monitoring, and model reliability

Let’s talk about what’s in it for you:

We’ll pay you between £50,000 and £70,000, depending on your specific skills and experience.

We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission.

You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We'll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we've put at the heart of our offering, add to your pension or even take it as cash.

Here’s a taster of what’s on offer:

For starters, you’ll get 34 days of holiday (including bank holidays).

For your health
With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more

For your wellbeing
With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more

For your lifestyle
With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations

For your home
Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers

For your commute
Nab a great deal on ultra-low emission car leasing, plus our cycle to work scheme and public transport season ticket loans

Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know.

For your Belonging

To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It's up to you.

Oh, and one last thing...

We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.